Evidence map›Paper›PMID 33304600›Full record

ArticleNeuro-oncology practice2020

Multiparameter quantitative histological MRI values in high-grade gliomas: a potential biomarker of tumor progression.

Gilles Reuter, Emilie Lommers, Evelyne Balteau, Jessica Simon, Christophe Phillips, Felix Scholtes, Didier Martin, Arnaud Lombard, Pierre Maquet

Abstract read
In one paragraph

Article in Neuro-oncology practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Gilles ReuterGIGA Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Emilie LommersGIGA Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Evelyne BalteauGIGA Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Jessica SimonPsychology and Neuroscience of Cognition-PsyNCogn, University of Liège, Liège, Belgium.
Christophe PhillipsGIGA Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Felix ScholtesDepartment of Neurosurgery, University Hospital of Liège, Liège, Belgium.
Didier MartinDepartment of Neurosurgery, University Hospital of Liège, Liège, Belgium.
Arnaud LombardDepartment of Neurosurgery, University Hospital of Liège, Liège, Belgium.
Pierre MaquetGIGA Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional MRI poorly distinguishes brain parenchyma microscopically invaded by high-grade gliomas (HGGs) from the normal brain. By contrast, quantitative histological MRI (hMRI) measures brain microstructure in terms of physical MR parameters influenced by histochemical tissue composition. We aimed to determine the relationship between hMRI parameters in the area surrounding the surgical cavity and the presence of HGG recurrence.

methodsPatients were scanned after surgery with an hMRI multiparameter protocol that allowed for estimations of longitudinal relaxation rate (R1) = 1/T1, effective transverse relaxation rate (R2)*=1/T2*, magnetization transfer saturation (MT

resultsThirty-one patients with HGG who underwent gross-total resection were enrolled. MT

conclusionsHGG recurrence was associated with hMRI parameters' variation after initial surgery, weeks to months before overt recurrence.

Indexed as

high-grade gliomasperitumoral brain zonequantitative magnetic resonance imagingtumor progression

Identifiers

PMID33304600
PMCPMC7716186

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.